Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments. - Salima Medhaffar; Fethi Bougares; Yannick Estève; Lamia Hadrich Belguith (WANLP@EACL, 2017)

Instrumentation of Classrooms Using Synchronous Speech Transcription. - Vincent Bettenfeld; Salima Mdhaffar; Christophe Choquet; Claudine Piau-Toffolon (EC-TEL, 2018)

Le corpus PASTEL pour le traitement automatique de cours magistraux (PASTEL corpus for automatic processing of lectures). - Salima Mdhaffar; Antoine Laurent; Yannick Estève (CORIA-TALN-RJC (TALN 2), 2018)

Instrumentation of Learning Situation using Automated Speech Transcription: A Prototyping Approach. - Vincent Bettenfeld; Salima Mdhaffar; Christophe Choquet; Claudine Piau-Toffolon (CSEDU (2), 2019)

Qualitative Evaluation of ASR Adaptation in a Lecture Context: Application to the PASTEL Corpus. - Salima Mdhaffar; Yannick Estève; Nicolas Hernandez; Antoine Laurent; Richard Dufour; Solen Quiniou (INTERSPEECH, 2019)

Apport de l'adaptation automatique des modèles de langage pour la reconnaissance de la parole: évaluation qualitative extrinsèque dans un contexte de traitement de cours magistraux (Contribution of automatic adaptation of language models for speech recognition : extrinsic qualitative evaluation in a context of educational courses). - Salima Mdhaffar; Yannick Estève; Nicolas Hernandez; Antoine Laurent; Solen Quiniou (PFIA (Articles courts), 2019)

Automatic Diacritics Restoration for Tunisian Dialect. - Abir Masmoudi 001; Salima Mdhaffar; Rahma Sellami; Lamia Hadrich Belguith (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study. - Salima Mdhaffar; Yannick Estève; Antoine Laurent; Nicolas Hernandez; Richard Dufour; Delphine Charlet; Géraldine Damnati; Solen Quiniou; Nathalie Camelin (LREC, 2020)

Reconnaissance de la parole dans un contexte de cours magistraux : évaluation, avancées et enrichissement. (Speech recognition in the context of lectures: evaluation, progress and enrichment). - Salima Mdhaffar (2020)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (Interspeech, 2021)

ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks. - Hang Le 001; Florentin Barbier; Ha Nguyen; Natalia A. Tomashenko; Salima Mdhaffar; Souhir Gahbiche; Benjamin Lecouteux; Didier Schwab; Yannick Estève (IWSLT, 2021)

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (NeurIPS Datasets and Benchmarks, 2021)

Where Are We in Semantic Concept Extraction for Spoken Language Understanding? - Sahar Ghannay; Antoine Caubrière; Salima Mdhaffar; Gaëlle Laperrière; Bassam Jabaian; Yannick Estève (SPECOM, 2021)

Study on Acoustic Model Personalization in a Context of Collaborative Learning Constrained by Privacy Preservation. - Salima Mdhaffar; Marc Tommasi; Yannick Estève (SPECOM, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (CoRR, 2021)

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. - Salima Mdhaffar; Jean-François Bonastre; Marc Tommasi; Natalia A. Tomashenko; Yannick Estève (ICASSP, 2022)

Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. - Natalia A. Tomashenko; Salima Mdhaffar; Marc Tommasi; Yannick Estève; Jean-François Bonastre (ICASSP, 2022)

End-to-end model for named entity recognition from speech without paired training data. - Salima Mdhaffar; Jarod Duret; Titouan Parcollet; Yannick Estève (INTERSPEECH, 2022)

The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools. - Gaëlle Laperrière; Valentin Pelloin; Antoine Caubrière; Salima Mdhaffar; Nathalie Camelin; Sahar Ghannay; Bassam Jabaian; Yannick Estève (LREC, 2022)

Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding. - Salima Mdhaffar; Valentin Pelloin; Antoine Caubrière; Gaëlle Laperrière; Sahar Ghannay; Bassam Jabaian; Nathalie Camelin; Yannick Estève (LREC, 2022)

Federated Learning for ASR Based on wav2vec 2.0. - Tuan Nguyen; Salima Mdhaffar; Natalia A. Tomashenko; Jean-François Bonastre; Yannick Estève (ICASSP, 2023)

ON-TRAC Consortium Systems for the IWSLT 2023 Dialectal and Low-resource Speech Translation Tasks. - Antoine Laurent; Souhir Gahbiche; Ha Nguyen; Haroun Elleuch; Fethi Bougares; Antoine Thiol; Hugo Riguidel; Salima Mdhaffar; Gaëlle Laperrière; Lucas Maison; Sameer Khurana; Yannick Estève (IWSLT@ACL, 2023)

TARIC-SLU: A Tunisian Benchmark Dataset for Spoken Language Understanding. - Salima Mdhaffar; Fethi Bougares; Renato de Mori; Salah Zaiem; Mirco Ravanelli; Yannick Estève (LREC/COLING, 2024)

Sonos Voice Control Bias Assessment Dataset: A Methodology for Demographic Bias Assessment in Voice Assistants. - Chloé Sekkat; Fanny Leroy; Salima Mdhaffar; Blake Perry Smith; Yannick Estève; Joseph Dureau; Alice Coucke (LREC/COLING, 2024)

Extraction of interpretable and shared speaker-specific speech attributes through binary auto-encoder. - Imen Ben Amor; Jean-François Bonastre; Salima Mdhaffar (INTERSPEECH, 2024)

Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect. - Salima Mdhaffar; Haroun Elleuch; Fethi Bougares; Yannick Estève (ArabicNLP, 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. - Titouan Parcollet; Ha Nguyen; Solène Evain; Marcely Zanon Boito; Adrien Pupier; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)

Towards a Unified Benchmark for Arabic Pronunciation Assessment: Quranic Recitation as Case Study. - Yassine El Kheir; Omnia Ibrahim; Amit Meghanani; Nada Almarwani; Hawau Olamide Toyin; Sadeen Alharbi; Modar Alfadly; Lamya Alkanhal; Ibrahim Selim; Shehab Elbatal; Salima Mdhaffar; Thomas Hain; et al. (CoRR, 2025)